Overview

Brought to you by YData

Dataset statistics

 Cluster 0Cluster 1
Number of variables1212
Number of observations773476
Missing cells00
Missing cells (%)0.0%0.0%
Duplicate rows11165
Duplicate rows (%)14.4%13.7%
Total size in memory78.5 KiB48.3 KiB
Average record size in memory104.0 B104.0 B

Variable types

 Cluster 0Cluster 1
Numeric1212

Alerts

Cluster 0Cluster 1
Dataset has 111 (14.4%) duplicate rows Dataset has 65 (13.7%) duplicate rowsDuplicates
alcohol is highly overall correlated with densityalcohol is highly overall correlated with density and 1 other fieldsHigh correlation
density is highly overall correlated with alcohol and 1 other fieldsdensity is highly overall correlated with alcohol and 1 other fieldsHigh correlation
fixed acidity is highly overall correlated with density and 1 other fieldsfixed acidity is highly overall correlated with density and 1 other fieldsHigh correlation
free sulfur dioxide is highly overall correlated with total sulfur dioxidefree sulfur dioxide is highly overall correlated with total sulfur dioxideHigh correlation
pH is highly overall correlated with fixed aciditypH is highly overall correlated with fixed acidityHigh correlation
total sulfur dioxide is highly overall correlated with free sulfur dioxidetotal sulfur dioxide is highly overall correlated with free sulfur dioxideHigh correlation
citric acid has 104 (13.5%) zeros Alert not present in this datasetZeros
Alert not present in this datasetquality is highly overall correlated with alcoholHigh correlation

Reproduction

 Cluster 0Cluster 1
Analysis started2025-08-22 15:46:37.4406902025-08-22 15:46:49.067871
Analysis finished2025-08-22 15:46:49.0584602025-08-22 15:47:00.661082
Duration11.62 seconds11.59 seconds
Software versionydata-profiling vv4.16.1ydata-profiling vv4.16.1
Download configurationconfig.jsonconfig.json

Variables

fixed acidity
Real number (ℝ)

 Cluster 0Cluster 1
Distinct5070
Distinct (%)6.5%14.7%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.285283070.54831933
 Cluster 0Cluster 1
Minimum00.11904762
Maximum0.607142861
Zeros20
Zeros (%)0.3%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:01.198085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.11904762
5-th percentile0.119047620.26190476
Q10.214285710.4047619
median0.273809520.54761905
Q30.357142860.66666667
95-th percentile0.476190480.88392857
Maximum0.607142861
Range0.607142860.88095238
Interquartile range (IQR)0.142857140.26190476

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.10952960.18681822
Coefficient of variation (CV)0.383933050.34071063
Kurtosis0.10038737-0.55882336
Mean0.285283070.54831933
Median Absolute Deviation (MAD)0.059523810.13095238
Skewness0.205065950.2528895
Sum220.52381261
Variance0.0119967330.034901048
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:01.348410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2619047619 49
 
6.3%
0.25 45
 
5.8%
0.2380952381 41
 
5.3%
0.3333333333 37
 
4.8%
0.3214285714 36
 
4.7%
0.3095238095 33
 
4.3%
0.2142857143 32
 
4.1%
0.2738095238 32
 
4.1%
0.2976190476 31
 
4.0%
0.2261904762 30
 
3.9%
Other values (40) 407
52.7%
ValueCountFrequency (%)
0.380952381 19
 
4.0%
0.5952380952 17
 
3.6%
0.5833333333 17
 
3.6%
0.4880952381 16
 
3.4%
0.4642857143 16
 
3.4%
0.3452380952 15
 
3.2%
0.6428571429 14
 
2.9%
0.619047619 14
 
2.9%
0.4523809524 14
 
2.9%
0.5476190476 13
 
2.7%
Other values (60) 321
67.4%
ValueCountFrequency (%)
0 2
 
0.3%
0.0119047619 3
 
0.4%
0.02380952381 3
 
0.4%
0.03571428571 3
 
0.4%
0.04761904762 3
 
0.4%
0.07142857143 13
1.7%
0.08333333333 1
 
0.1%
0.09523809524 3
 
0.4%
0.1071428571 7
0.9%
0.119047619 11
1.4%
ValueCountFrequency (%)
0.119047619 1
 
0.2%
0.1428571429 2
 
0.4%
0.1547619048 1
 
0.2%
0.1666666667 1
 
0.2%
0.2023809524 2
 
0.4%
0.2142857143 2
 
0.4%
0.2380952381 3
 
0.6%
0.25 2
 
0.4%
0.2619047619 11
2.3%
0.2738095238 6
1.3%
ValueCountFrequency (%)
0.119047619 1
 
0.1%
0.1428571429 2
 
0.3%
0.1547619048 1
 
0.1%
0.1666666667 1
 
0.1%
0.2023809524 2
 
0.3%
0.2142857143 2
 
0.3%
0.2380952381 3
 
0.4%
0.25 2
 
0.3%
0.2619047619 11
1.4%
0.2738095238 6
0.8%
ValueCountFrequency (%)
0 2
 
0.4%
0.0119047619 3
 
0.6%
0.02380952381 3
 
0.6%
0.03571428571 3
 
0.6%
0.04761904762 3
 
0.6%
0.07142857143 13
2.7%
0.08333333333 1
 
0.2%
0.09523809524 3
 
0.6%
0.1071428571 7
1.5%
0.119047619 11
2.3%

volatile acidity
Real number (ℝ)

 Cluster 0Cluster 1
Distinct11264
Distinct (%)14.5%13.4%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.524755330.30052293
 Cluster 0Cluster 1
Minimum0.119565220
Maximum10.98369565
Zeros03
Zeros (%)0.0%0.6%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:01.509079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.119565220
5-th percentile0.28260870.13043478
Q10.423913040.20652174
median0.521739130.2826087
Q30.614130430.36956522
95-th percentile0.815217390.52173913
Maximum10.98369565
Range0.880434780.98369565
Interquartile range (IQR)0.190217390.16304348

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.155399310.13226623
Coefficient of variation (CV)0.296136690.44012027
Kurtosis0.379770472.7467081
Mean0.524755330.30052293
Median Absolute Deviation (MAD)0.0978260870.076086957
Skewness0.461173021.0426526
Sum405.63587143.04891
Variance0.0241489450.017494356
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:01.671559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5217391304 33
 
4.3%
0.4782608696 28
 
3.6%
0.5 27
 
3.5%
0.5108695652 22
 
2.8%
0.4891304348 22
 
2.8%
0.4347826087 21
 
2.7%
0.5543478261 21
 
2.7%
0.5326086957 20
 
2.6%
0.4239130435 20
 
2.6%
0.6195652174 19
 
2.5%
Other values (102) 540
69.9%
ValueCountFrequency (%)
0.2826086957 22
 
4.6%
0.2065217391 22
 
4.6%
0.3369565217 19
 
4.0%
0.4130434783 19
 
4.0%
0.2608695652 19
 
4.0%
0.2934782609 18
 
3.8%
0.3043478261 18
 
3.8%
0.1739130435 17
 
3.6%
0.25 17
 
3.6%
0.2391304348 15
 
3.2%
Other values (54) 290
60.9%
ValueCountFrequency (%)
0.1195652174 1
 
0.1%
0.152173913 1
 
0.1%
0.1847826087 1
 
0.1%
0.2065217391 2
 
0.3%
0.2173913043 5
0.6%
0.2282608696 1
 
0.1%
0.2391304348 7
0.9%
0.25 3
 
0.4%
0.2608695652 11
1.4%
0.2717391304 3
 
0.4%
ValueCountFrequency (%)
0 3
0.6%
0.04347826087 2
 
0.4%
0.0652173913 4
0.8%
0.07608695652 1
 
0.2%
0.08695652174 2
 
0.4%
0.09782608696 3
0.6%
0.1086956522 4
0.8%
0.1195652174 4
0.8%
0.1304347826 7
1.5%
0.1413043478 6
1.3%
ValueCountFrequency (%)
0 3
0.4%
0.04347826087 2
 
0.3%
0.0652173913 4
0.5%
0.07608695652 1
 
0.1%
0.08695652174 2
 
0.3%
0.09782608696 3
0.4%
0.1086956522 4
0.5%
0.1195652174 4
0.5%
0.1304347826 7
0.9%
0.1413043478 6
0.8%
ValueCountFrequency (%)
0.1195652174 1
 
0.2%
0.152173913 1
 
0.2%
0.1847826087 1
 
0.2%
0.2065217391 2
 
0.4%
0.2173913043 5
1.1%
0.2282608696 1
 
0.2%
0.2391304348 7
1.5%
0.25 3
 
0.6%
0.2608695652 11
2.3%
0.2717391304 3
 
0.6%

citric acid
Real number (ℝ)

 Cluster 0Cluster 1
Distinct4453
Distinct (%)5.7%11.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.180077620.59109244
 Cluster 0Cluster 1
Minimum00.25333333
Maximum0.653333331
Zeros1040
Zeros (%)13.5%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:01.828259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.25333333
5-th percentile00.33
Q10.040.50666667
median0.146666670.58666667
Q30.306666670.66666667
95-th percentile0.426666670.85333333
Maximum0.653333331
Range0.653333330.74666667
Interquartile range (IQR)0.266666670.16

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.146549820.14561223
Coefficient of variation (CV)0.813814750.24634426
Kurtosis-0.81790407-0.14486167
Mean0.180077620.59109244
Median Absolute Deviation (MAD)0.120.08
Skewness0.448440620.19218875
Sum139.2281.36
Variance0.0214768510.021202921
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:01.978470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 104
 
13.5%
0.02666666667 45
 
5.8%
0.1333333333 32
 
4.1%
0.01333333333 30
 
3.9%
0.32 29
 
3.8%
0.1066666667 29
 
3.8%
0.05333333333 26
 
3.4%
0.04 26
 
3.4%
0.3466666667 24
 
3.1%
0.12 24
 
3.1%
Other values (34) 404
52.3%
ValueCountFrequency (%)
0.6533333333 40
 
8.4%
0.52 27
 
5.7%
0.5333333333 25
 
5.3%
0.56 20
 
4.2%
0.6 18
 
3.8%
0.5866666667 17
 
3.6%
0.32 16
 
3.4%
0.6266666667 16
 
3.4%
0.6133333333 16
 
3.4%
0.64 15
 
3.2%
Other values (43) 266
55.9%
ValueCountFrequency (%)
0 104
13.5%
0.01333333333 30
 
3.9%
0.02666666667 45
5.8%
0.04 26
 
3.4%
0.05333333333 26
 
3.4%
0.06666666667 17
 
2.2%
0.08 19
 
2.5%
0.09333333333 21
 
2.7%
0.1066666667 29
 
3.8%
0.12 24
 
3.1%
ValueCountFrequency (%)
0.2533333333 1
 
0.2%
0.28 4
 
0.8%
0.2933333333 1
 
0.2%
0.3066666667 2
 
0.4%
0.32 16
3.4%
0.3333333333 3
 
0.6%
0.3466666667 2
 
0.4%
0.36 4
 
0.8%
0.3733333333 1
 
0.2%
0.3866666667 2
 
0.4%
ValueCountFrequency (%)
0.2533333333 1
 
0.1%
0.28 4
 
0.5%
0.2933333333 1
 
0.1%
0.3066666667 2
 
0.3%
0.32 16
2.1%
0.3333333333 3
 
0.4%
0.3466666667 2
 
0.3%
0.36 4
 
0.5%
0.3733333333 1
 
0.1%
0.3866666667 2
 
0.3%
ValueCountFrequency (%)
0 104
21.8%
0.01333333333 30
 
6.3%
0.02666666667 45
9.5%
0.04 26
 
5.5%
0.05333333333 26
 
5.5%
0.06666666667 17
 
3.6%
0.08 19
 
4.0%
0.09333333333 21
 
4.4%
0.1066666667 29
 
6.1%
0.12 24
 
5.0%

residual sugar
Real number (ℝ)

 Cluster 0Cluster 1
Distinct3031
Distinct (%)3.9%6.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.391170760.44664741
 Cluster 0Cluster 1
Minimum00
Maximum11
Zeros32
Zeros (%)0.4%0.4%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:02.110513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.166666670.125
Q10.250.33333333
median0.3750.41666667
Q30.50.58333333
95-th percentile0.750.83333333
Maximum11
Range11
Interquartile range (IQR)0.250.25

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.175794870.19509059
Coefficient of variation (CV)0.449406970.4367888
Kurtosis0.511639390.21970192
Mean0.391170760.44664741
Median Absolute Deviation (MAD)0.1250.125
Skewness0.711777020.36947955
Sum302.375212.60417
Variance0.0309038360.038060337
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:02.278425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.3333333333 91
11.8%
0.375 81
10.5%
0.25 76
9.8%
0.2916666667 73
9.4%
0.4166666667 62
 
8.0%
0.4583333333 59
 
7.6%
0.2083333333 50
 
6.5%
0.5 41
 
5.3%
0.5416666667 41
 
5.3%
0.1666666667 37
 
4.8%
Other values (20) 162
21.0%
ValueCountFrequency (%)
0.4166666667 53
11.1%
0.3333333333 44
 
9.2%
0.4583333333 39
 
8.2%
0.5833333333 37
 
7.8%
0.5416666667 36
 
7.6%
0.375 33
 
6.9%
0.5 31
 
6.5%
0.6666666667 27
 
5.7%
0.25 27
 
5.7%
0.2916666667 26
 
5.5%
Other values (21) 123
25.8%
ValueCountFrequency (%)
0 3
 
0.4%
0.04166666667 1
 
0.1%
0.08333333333 20
 
2.6%
0.125 12
 
1.6%
0.1666666667 37
4.8%
0.1875 1
 
0.1%
0.2083333333 50
6.5%
0.2291666667 1
 
0.1%
0.25 76
9.8%
0.2916666667 73
9.4%
ValueCountFrequency (%)
0 2
 
0.4%
0.04166666667 2
 
0.4%
0.08333333333 13
 
2.7%
0.125 14
 
2.9%
0.1666666667 13
 
2.7%
0.1875 1
 
0.2%
0.2083333333 13
 
2.7%
0.25 27
5.7%
0.2916666667 26
5.5%
0.3333333333 44
9.2%
ValueCountFrequency (%)
0 2
 
0.3%
0.04166666667 2
 
0.3%
0.08333333333 13
 
1.7%
0.125 14
 
1.8%
0.1666666667 13
 
1.7%
0.1875 1
 
0.1%
0.2083333333 13
 
1.7%
0.25 27
3.5%
0.2916666667 26
3.4%
0.3333333333 44
5.7%
ValueCountFrequency (%)
0 3
 
0.6%
0.04166666667 1
 
0.2%
0.08333333333 20
 
4.2%
0.125 12
 
2.5%
0.1666666667 37
7.8%
0.1875 1
 
0.2%
0.2083333333 50
10.5%
0.2291666667 1
 
0.2%
0.25 76
16.0%
0.2916666667 73
15.3%

chlorides
Real number (ℝ)

 Cluster 0Cluster 1
Distinct7572
Distinct (%)9.7%15.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.477377520.4806615
 Cluster 0Cluster 1
Minimum00
Maximum11
Zeros11
Zeros (%)0.1%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:02.419490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.166666670.17948718
Q10.371794870.33333333
median0.474358970.47435897
Q30.576923080.6025641
95-th percentile0.782051280.83333333
Maximum11
Range11
Interquartile range (IQR)0.205128210.26923077

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.177202930.19499514
Coefficient of variation (CV)0.371200820.40568079
Kurtosis0.52893503-0.23952379
Mean0.477377520.4806615
Median Absolute Deviation (MAD)0.10256410.13461538
Skewness0.106810510.29354567
Sum369.01282228.79487
Variance0.0314008780.038023103
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:02.568404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4487179487 37
 
4.8%
0.4743589744 37
 
4.8%
0.5 36
 
4.7%
0.4615384615 34
 
4.4%
0.5512820513 30
 
3.9%
0.4230769231 29
 
3.8%
0.4871794872 25
 
3.2%
0.5128205128 25
 
3.2%
0.4358974359 24
 
3.1%
0.5256410256 22
 
2.8%
Other values (65) 474
61.3%
ValueCountFrequency (%)
0.3846153846 18
 
3.8%
0.5 17
 
3.6%
0.4230769231 16
 
3.4%
0.4358974359 15
 
3.2%
0.5256410256 15
 
3.2%
0.4871794872 14
 
2.9%
0.3205128205 13
 
2.7%
0.5128205128 13
 
2.7%
0.5512820513 12
 
2.5%
0.3461538462 12
 
2.5%
Other values (62) 331
69.5%
ValueCountFrequency (%)
0 1
 
0.1%
0.01282051282 2
 
0.3%
0.02564102564 1
 
0.1%
0.03846153846 3
0.4%
0.05128205128 3
0.4%
0.0641025641 2
 
0.3%
0.07692307692 3
0.4%
0.08974358974 5
0.6%
0.1025641026 5
0.6%
0.1153846154 5
0.6%
ValueCountFrequency (%)
0 1
 
0.2%
0.01282051282 1
 
0.2%
0.03846153846 1
 
0.2%
0.0641025641 1
 
0.2%
0.07692307692 1
 
0.2%
0.1025641026 1
 
0.2%
0.1153846154 2
 
0.4%
0.141025641 7
1.5%
0.1538461538 1
 
0.2%
0.1666666667 6
1.3%
ValueCountFrequency (%)
0 1
 
0.1%
0.01282051282 1
 
0.1%
0.03846153846 1
 
0.1%
0.0641025641 1
 
0.1%
0.07692307692 1
 
0.1%
0.1025641026 1
 
0.1%
0.1153846154 2
 
0.3%
0.141025641 7
0.9%
0.1538461538 1
 
0.1%
0.1666666667 6
0.8%
ValueCountFrequency (%)
0 1
 
0.2%
0.01282051282 2
 
0.4%
0.02564102564 1
 
0.2%
0.03846153846 3
0.6%
0.05128205128 3
0.6%
0.0641025641 2
 
0.4%
0.07692307692 3
0.6%
0.08974358974 5
1.1%
0.1025641026 5
1.1%
0.1153846154 5
1.1%

free sulfur dioxide
Real number (ℝ)

 Cluster 0Cluster 1
Distinct4038
Distinct (%)5.2%8.0%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.361183860.30441689
 Cluster 0Cluster 1
Minimum0.0487804880
Maximum11
Zeros02
Zeros (%)0.0%0.4%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:02.704323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0487804880
5-th percentile0.0975609760.073170732
Q10.195121950.12195122
median0.341463410.24390244
Q30.487804880.43902439
95-th percentile0.78048780.73170732
Maximum11
Range0.951219511
Interquartile range (IQR)0.292682930.31707317

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.213207670.21360715
Coefficient of variation (CV)0.590302310.70169285
Kurtosis-0.0484535710.5607098
Mean0.361183860.30441689
Median Absolute Deviation (MAD)0.146341460.12195122
Skewness0.766398991.0569317
Sum279.19512144.90244
Variance0.0454575090.045628016
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:02.835041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.3414634146 53
 
6.9%
0.2682926829 40
 
5.2%
0.2926829268 39
 
5.0%
0.3658536585 37
 
4.8%
0.09756097561 36
 
4.7%
0.3902439024 35
 
4.5%
0.1463414634 35
 
4.5%
0.1219512195 34
 
4.4%
0.2195121951 34
 
4.4%
0.243902439 33
 
4.3%
Other values (30) 397
51.4%
ValueCountFrequency (%)
0.1219512195 68
 
14.3%
0.09756097561 43
 
9.0%
0.2195121951 28
 
5.9%
0.2682926829 25
 
5.3%
0.1463414634 23
 
4.8%
0.1951219512 22
 
4.6%
0.243902439 18
 
3.8%
0.0487804878 16
 
3.4%
0.1707317073 16
 
3.4%
0.487804878 16
 
3.4%
Other values (28) 201
42.2%
ValueCountFrequency (%)
0.0487804878 17
2.2%
0.07317073171 21
2.7%
0.09756097561 36
4.7%
0.1219512195 34
4.4%
0.1463414634 35
4.5%
0.1707317073 33
4.3%
0.1951219512 32
4.1%
0.2195121951 34
4.4%
0.243902439 33
4.3%
0.2682926829 40
5.2%
ValueCountFrequency (%)
0 2
 
0.4%
0.0487804878 16
 
3.4%
0.07317073171 11
 
2.3%
0.09756097561 43
9.0%
0.1219512195 68
14.3%
0.1463414634 23
 
4.8%
0.1707317073 16
 
3.4%
0.1951219512 22
 
4.6%
0.2195121951 28
5.9%
0.243902439 18
 
3.8%
ValueCountFrequency (%)
0 2
 
0.3%
0.0487804878 16
 
2.1%
0.07317073171 11
 
1.4%
0.09756097561 43
5.6%
0.1219512195 68
8.8%
0.1463414634 23
 
3.0%
0.1707317073 16
 
2.1%
0.1951219512 22
 
2.8%
0.2195121951 28
3.6%
0.243902439 18
 
2.3%
ValueCountFrequency (%)
0.0487804878 17
3.6%
0.07317073171 21
4.4%
0.09756097561 36
7.6%
0.1219512195 34
7.1%
0.1463414634 35
7.4%
0.1707317073 33
6.9%
0.1951219512 32
6.7%
0.2195121951 34
7.1%
0.243902439 33
6.9%
0.2682926829 40
8.4%

total sulfur dioxide
Real number (ℝ)

 Cluster 0Cluster 1
Distinct10589
Distinct (%)13.6%18.7%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.343500470.25566865
 Cluster 0Cluster 1
Minimum0.00862068970
Maximum10.99137931
Zeros03
Zeros (%)0.0%0.6%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:02.973314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.00862068970
5-th percentile0.0517241380.034482759
Q10.16379310.11206897
median0.275862070.18965517
Q30.482758620.35560345
95-th percentile0.81379310.65732759
Maximum10.99137931
Range0.991379310.99137931
Interquartile range (IQR)0.318965520.24353448

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.234170580.19582809
Coefficient of variation (CV)0.681718380.76594489
Kurtosis-0.0838021081.2290544
Mean0.343500470.25566865
Median Absolute Deviation (MAD)0.137931030.11206897
Skewness0.847286451.2040475
Sum265.52586121.69828
Variance0.0548358610.038348642
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:03.115021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2155172414 26
 
3.4%
0.1896551724 24
 
3.1%
0.275862069 22
 
2.8%
0.25 17
 
2.2%
0.1465517241 16
 
2.1%
0.04310344828 15
 
1.9%
0.2413793103 15
 
1.9%
0.1034482759 15
 
1.9%
0.1810344828 15
 
1.9%
0.06034482759 15
 
1.9%
Other values (95) 593
76.7%
ValueCountFrequency (%)
0.1896551724 18
 
3.8%
0.0775862069 17
 
3.6%
0.03448275862 16
 
3.4%
0.1120689655 15
 
3.2%
0.1551724138 15
 
3.2%
0.1810344828 14
 
2.9%
0.1293103448 13
 
2.7%
0.09482758621 13
 
2.7%
0.1637931034 12
 
2.5%
0.06896551724 12
 
2.5%
Other values (79) 331
69.5%
ValueCountFrequency (%)
0.008620689655 2
 
0.3%
0.01724137931 3
 
0.4%
0.02586206897 5
 
0.6%
0.03448275862 6
 
0.8%
0.04310344828 15
1.9%
0.05172413793 10
1.3%
0.06034482759 15
1.9%
0.06896551724 11
1.4%
0.0775862069 13
1.7%
0.08620689655 10
1.3%
ValueCountFrequency (%)
0 3
 
0.6%
0.008620689655 1
 
0.2%
0.01724137931 7
1.5%
0.02586206897 5
 
1.1%
0.03448275862 16
3.4%
0.04310344828 6
 
1.3%
0.05172413793 11
2.3%
0.06034482759 8
1.7%
0.06896551724 12
2.5%
0.0775862069 17
3.6%
ValueCountFrequency (%)
0 3
 
0.4%
0.008620689655 1
 
0.1%
0.01724137931 7
0.9%
0.02586206897 5
 
0.6%
0.03448275862 16
2.1%
0.04310344828 6
 
0.8%
0.05172413793 11
1.4%
0.06034482759 8
1.0%
0.06896551724 12
1.6%
0.0775862069 17
2.2%
ValueCountFrequency (%)
0.008620689655 2
 
0.4%
0.01724137931 3
 
0.6%
0.02586206897 5
 
1.1%
0.03448275862 6
 
1.3%
0.04310344828 15
3.2%
0.05172413793 10
2.1%
0.06034482759 15
3.2%
0.06896551724 11
2.3%
0.0775862069 13
2.7%
0.08620689655 10
2.1%

density
Real number (ℝ)

 Cluster 0Cluster 1
Distinct279208
Distinct (%)36.1%43.7%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.480418680.57304134
 Cluster 0Cluster 1
Minimum00.085858586
Maximum0.959595961
Zeros10
Zeros (%)0.1%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:03.253313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.085858586
5-th percentile0.205252530.26565657
Q10.40.42424242
median0.486868690.57575758
Q30.575757580.71717172
95-th percentile0.714141410.86868687
Maximum0.959595961
Range0.959595960.91414141
Interquartile range (IQR)0.175757580.29292929

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.152351660.18543731
Coefficient of variation (CV)0.317122680.32360198
Kurtosis0.61959871-0.69423353
Mean0.480418680.57304134
Median Absolute Deviation (MAD)0.0888888890.14141414
Skewness-0.25684175-0.10550037
Sum371.36364272.76768
Variance0.0232110280.034386996
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:03.397117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5757575758 21
 
2.7%
0.5353535354 19
 
2.5%
0.6161616162 17
 
2.2%
0.4747474747 16
 
2.1%
0.5555555556 15
 
1.9%
0.5151515152 14
 
1.8%
0.4949494949 14
 
1.8%
0.404040404 13
 
1.7%
0.4444444444 11
 
1.4%
0.4343434343 11
 
1.4%
Other values (269) 622
80.5%
ValueCountFrequency (%)
0.6767676768 16
 
3.4%
0.797979798 14
 
2.9%
0.7373737374 13
 
2.7%
0.6565656566 12
 
2.5%
0.7171717172 10
 
2.1%
0.6161616162 9
 
1.9%
0.8585858586 9
 
1.9%
0.595959596 9
 
1.9%
0.7272727273 8
 
1.7%
0.5757575758 8
 
1.7%
Other values (198) 368
77.3%
ValueCountFrequency (%)
0 1
 
0.1%
0.007070707071 1
 
0.1%
0.01212121212 1
 
0.1%
0.03232323232 2
0.3%
0.04141414141 1
 
0.1%
0.07070707071 1
 
0.1%
0.08686868687 1
 
0.1%
0.09090909091 3
0.4%
0.09292929293 2
0.3%
0.103030303 1
 
0.1%
ValueCountFrequency (%)
0.08585858586 1
 
0.2%
0.1313131313 2
0.4%
0.1797979798 1
 
0.2%
0.1818181818 1
 
0.2%
0.1828282828 2
0.4%
0.2060606061 1
 
0.2%
0.2080808081 4
0.8%
0.2121212121 1
 
0.2%
0.2161616162 1
 
0.2%
0.2282828283 1
 
0.2%
ValueCountFrequency (%)
0.08585858586 1
 
0.1%
0.1313131313 2
0.3%
0.1797979798 1
 
0.1%
0.1818181818 1
 
0.1%
0.1828282828 2
0.3%
0.2060606061 1
 
0.1%
0.2080808081 4
0.5%
0.2121212121 1
 
0.1%
0.2161616162 1
 
0.1%
0.2282828283 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.2%
0.007070707071 1
 
0.2%
0.01212121212 1
 
0.2%
0.03232323232 2
0.4%
0.04141414141 1
 
0.2%
0.07070707071 1
 
0.2%
0.08686868687 1
 
0.2%
0.09090909091 3
0.6%
0.09292929293 2
0.4%
0.103030303 1
 
0.2%

pH
Real number (ℝ)

 Cluster 0Cluster 1
Distinct6662
Distinct (%)8.5%13.0%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.568497120.41034
 Cluster 0Cluster 1
Minimum00
Maximum10.83908046
Zeros11
Zeros (%)0.1%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:03.538017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.321839080.18390805
Q10.471264370.31034483
median0.563218390.40229885
Q30.655172410.50574713
95-th percentile0.816091950.64367816
Maximum10.83908046
Range10.83908046
Interquartile range (IQR)0.183908050.1954023

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.147207540.14091552
Coefficient of variation (CV)0.258941570.34341162
Kurtosis0.173331670.029307745
Mean0.568497120.41034
Median Absolute Deviation (MAD)0.0919540230.091954023
Skewness0.154052850.0092875936
Sum439.44828195.32184
Variance0.021670060.019857185
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:03.695850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5517241379 40
 
5.2%
0.4712643678 33
 
4.3%
0.5862068966 31
 
4.0%
0.5747126437 29
 
3.8%
0.5287356322 29
 
3.8%
0.6206896552 27
 
3.5%
0.5632183908 25
 
3.2%
0.4827586207 25
 
3.2%
0.4942528736 24
 
3.1%
0.5977011494 24
 
3.1%
Other values (56) 486
62.9%
ValueCountFrequency (%)
0.4367816092 22
 
4.6%
0.3103448276 21
 
4.4%
0.3448275862 18
 
3.8%
0.367816092 17
 
3.6%
0.3908045977 17
 
3.6%
0.4827586207 17
 
3.6%
0.3218390805 16
 
3.4%
0.4022988506 15
 
3.2%
0.5172413793 15
 
3.2%
0.3333333333 14
 
2.9%
Other values (52) 304
63.9%
ValueCountFrequency (%)
0 1
 
0.1%
0.1954022989 1
 
0.1%
0.2298850575 2
 
0.3%
0.2413793103 2
 
0.3%
0.2528735632 6
0.8%
0.2643678161 1
 
0.1%
0.275862069 5
0.6%
0.2873563218 5
0.6%
0.2988505747 4
0.5%
0.3103448276 9
1.2%
ValueCountFrequency (%)
0 1
 
0.2%
0.01149425287 2
 
0.4%
0.04597701149 1
 
0.2%
0.06896551724 3
0.6%
0.1149425287 4
0.8%
0.1264367816 1
 
0.2%
0.1379310345 2
 
0.4%
0.1609195402 4
0.8%
0.1724137931 3
0.6%
0.183908046 5
1.1%
ValueCountFrequency (%)
0 1
 
0.1%
0.01149425287 2
 
0.3%
0.04597701149 1
 
0.1%
0.06896551724 3
0.4%
0.1149425287 4
0.5%
0.1264367816 1
 
0.1%
0.1379310345 2
 
0.3%
0.1609195402 4
0.5%
0.1724137931 3
0.4%
0.183908046 5
0.6%
ValueCountFrequency (%)
0 1
 
0.2%
0.1954022989 1
 
0.2%
0.2298850575 2
 
0.4%
0.2413793103 2
 
0.4%
0.2528735632 6
1.3%
0.2643678161 1
 
0.2%
0.275862069 5
1.1%
0.2873563218 5
1.1%
0.2988505747 4
0.8%
0.3103448276 9
1.9%

sulphates
Real number (ℝ)

 Cluster 0Cluster 1
Distinct5955
Distinct (%)7.6%11.6%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.416459350.54828701
 Cluster 0Cluster 1
Minimum00.13846154
Maximum0.984615381
Zeros10
Zeros (%)0.1%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:03.836026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.13846154
5-th percentile0.20.27692308
Q10.323076920.41538462
median0.40.53846154
Q30.492307690.67692308
95-th percentile0.753846150.86153846
Maximum0.984615381
Range0.984615380.86153846
Interquartile range (IQR)0.169230770.26153846

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.158956790.18200564
Coefficient of variation (CV)0.381686210.33195323
Kurtosis1.3337988-0.65097853
Mean0.416459350.54828701
Median Absolute Deviation (MAD)0.0769230770.13846154
Skewness0.932177820.16662254
Sum321.92308260.98462
Variance0.0252672620.033126054
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:03.983500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3230769231 51
 
6.6%
0.3846153846 48
 
6.2%
0.4153846154 42
 
5.4%
0.3538461538 41
 
5.3%
0.4461538462 40
 
5.2%
0.4 34
 
4.4%
0.3076923077 29
 
3.8%
0.4769230769 29
 
3.8%
0.3692307692 29
 
3.8%
0.3384615385 29
 
3.8%
Other values (49) 401
51.9%
ValueCountFrequency (%)
0.5076923077 18
 
3.8%
0.4615384615 17
 
3.6%
0.5692307692 17
 
3.6%
0.3692307692 17
 
3.6%
0.6615384615 16
 
3.4%
0.4153846154 15
 
3.2%
0.6 15
 
3.2%
0.5230769231 14
 
2.9%
0.4307692308 14
 
2.9%
0.4461538462 14
 
2.9%
Other values (45) 319
67.0%
ValueCountFrequency (%)
0 1
 
0.1%
0.06153846154 2
 
0.3%
0.09230769231 2
 
0.3%
0.1076923077 3
 
0.4%
0.1384615385 3
 
0.4%
0.1538461538 5
 
0.6%
0.1692307692 10
1.3%
0.1846153846 8
1.0%
0.2 15
1.9%
0.2153846154 13
1.7%
ValueCountFrequency (%)
0.1384615385 1
 
0.2%
0.1538461538 2
 
0.4%
0.1692307692 3
 
0.6%
0.2 2
 
0.4%
0.2153846154 3
 
0.6%
0.2307692308 2
 
0.4%
0.2461538462 5
1.1%
0.2615384615 5
1.1%
0.2769230769 5
1.1%
0.2923076923 10
2.1%
ValueCountFrequency (%)
0.1384615385 1
 
0.1%
0.1538461538 2
 
0.3%
0.1692307692 3
 
0.4%
0.2 2
 
0.3%
0.2153846154 3
 
0.4%
0.2307692308 2
 
0.3%
0.2461538462 5
0.6%
0.2615384615 5
0.6%
0.2769230769 5
0.6%
0.2923076923 10
1.3%
ValueCountFrequency (%)
0 1
 
0.2%
0.06153846154 2
 
0.4%
0.09230769231 2
 
0.4%
0.1076923077 3
 
0.6%
0.1384615385 3
 
0.6%
0.1538461538 5
 
1.1%
0.1692307692 10
2.1%
0.1846153846 8
1.7%
0.2 15
3.2%
0.2153846154 13
2.7%

alcohol
Real number (ℝ)

 Cluster 0Cluster 1
Distinct5246
Distinct (%)6.7%9.7%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.304943190.40754873
 Cluster 0Cluster 1
Minimum0.061224490
Maximum11
Zeros02
Zeros (%)0.0%0.4%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:04.126235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.061224490
5-th percentile0.102040820.10204082
Q10.163265310.24489796
median0.244897960.39795918
Q30.408163270.55102041
95-th percentile0.722448980.76020408
Maximum11
Range0.938775511
Interquartile range (IQR)0.244897960.30612245

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.193748080.20296031
Coefficient of variation (CV)0.635357940.49800255
Kurtosis1.1174297-0.60692023
Mean0.304943190.40754873
Median Absolute Deviation (MAD)0.102040820.15306122
Skewness1.24818760.2902618
Sum235.72109193.9932
Variance0.0375383180.041192887
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:04.267945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1632653061 88
 
11.4%
0.2244897959 60
 
7.8%
0.1428571429 56
 
7.2%
0.2653061224 38
 
4.9%
0.1020408163 38
 
4.9%
0.2040816327 38
 
4.9%
0.1836734694 36
 
4.7%
0.1224489796 35
 
4.5%
0.2857142857 29
 
3.8%
0.2448979592 24
 
3.1%
Other values (42) 331
42.8%
ValueCountFrequency (%)
0.4693877551 29
 
6.1%
0.3673469388 27
 
5.7%
0.1632653061 25
 
5.3%
0.2653061224 19
 
4.0%
0.5510204082 19
 
4.0%
0.4489795918 19
 
4.0%
0.6326530612 18
 
3.8%
0.5102040816 18
 
3.8%
0.1836734694 16
 
3.4%
0.3469387755 15
 
3.2%
Other values (36) 271
56.9%
ValueCountFrequency (%)
0.0612244898 15
 
1.9%
0.07142857143 1
 
0.1%
0.08163265306 13
 
1.7%
0.1020408163 38
4.9%
0.1224489796 35
 
4.5%
0.1428571429 56
7.2%
0.1632653061 88
11.4%
0.1734693878 2
 
0.3%
0.1836734694 36
4.7%
0.2040816327 38
4.9%
ValueCountFrequency (%)
0 2
 
0.4%
0.0612244898 7
 
1.5%
0.08163265306 3
 
0.6%
0.1020408163 13
2.7%
0.1224489796 11
2.3%
0.1428571429 15
3.2%
0.1632653061 25
5.3%
0.1836734694 16
3.4%
0.2040816327 12
2.5%
0.2244897959 11
2.3%
ValueCountFrequency (%)
0 2
 
0.3%
0.0612244898 7
 
0.9%
0.08163265306 3
 
0.4%
0.1020408163 13
1.7%
0.1224489796 11
1.4%
0.1428571429 15
1.9%
0.1632653061 25
3.2%
0.1836734694 16
2.1%
0.2040816327 12
1.6%
0.2244897959 11
1.4%
ValueCountFrequency (%)
0.0612244898 15
 
3.2%
0.07142857143 1
 
0.2%
0.08163265306 13
 
2.7%
0.1020408163 38
8.0%
0.1224489796 35
 
7.4%
0.1428571429 56
11.8%
0.1632653061 88
18.5%
0.1734693878 2
 
0.4%
0.1836734694 36
7.6%
0.2040816327 38
8.0%

quality
Real number (ℝ)

 Cluster 0Cluster 1
Distinct66
Distinct (%)0.8%1.3%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean5.45148775.9579832
 Cluster 0Cluster 1
Minimum33
Maximum88
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size12.1 KiB7.4 KiB
2025-08-22T10:47:04.375090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum33
5-th percentile55
Q155
median56
Q366.25
95-th percentile6.47
Maximum88
Range55
Interquartile range (IQR)11.25

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.678529720.81970426
Coefficient of variation (CV)0.124466890.13758083
Kurtosis0.57686187-0.19961152
Mean5.45148775.9579832
Median Absolute Deviation (MAD)01
Skewness0.201381290.10082063
Sum42142836
Variance0.460402580.67191508
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:04.454438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 396
51.2%
6 305
39.5%
7 37
 
4.8%
4 30
 
3.9%
3 3
 
0.4%
8 2
 
0.3%
ValueCountFrequency (%)
6 215
45.2%
5 135
28.4%
7 108
22.7%
8 11
 
2.3%
4 6
 
1.3%
3 1
 
0.2%
ValueCountFrequency (%)
3 3
 
0.4%
4 30
 
3.9%
5 396
51.2%
6 305
39.5%
7 37
 
4.8%
8 2
 
0.3%
ValueCountFrequency (%)
3 1
 
0.2%
4 6
 
1.3%
5 135
28.4%
6 215
45.2%
7 108
22.7%
8 11
 
2.3%
ValueCountFrequency (%)
3 1
 
0.1%
4 6
 
0.8%
5 135
17.5%
6 215
27.8%
7 108
14.0%
8 11
 
1.4%
ValueCountFrequency (%)
3 3
 
0.6%
4 30
 
6.3%
5 396
83.2%
6 305
64.1%
7 37
 
7.8%
8 2
 
0.4%

Interactions

Cluster 0

2025-08-22T10:46:47.879833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.020442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:37.637983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.209532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.628223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.039846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.498088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.858427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.598077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.733325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.476341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.558000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.340404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.624910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.367918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.528084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.240065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.428023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.109089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.419399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.963022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.248072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.828303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.072912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.958869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.099888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:37.734807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.277892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.709870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.107267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.728180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.932521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.672169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.798305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.548333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.628123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.409276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.691452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.442618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.598087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.318011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.491342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.188030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.488047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.041982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.318043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.906065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.138316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.028593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.200472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:37.839977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.348082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.793264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.177956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.804047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.008516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.743101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.867949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.617988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.698153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.486295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.762953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.508982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.667955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.392437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.572931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.247945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.560470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.109045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.392534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.972114image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.208116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.108559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.292212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:37.933336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.427840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.868157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.252135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.880045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.086513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.820370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.941774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.688292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.018077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.559519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.838398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.591187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.747981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.468349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.679653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.332940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.638577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.188133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.464888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.042130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.297051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.181226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.375810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.009917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.492032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.938303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.318110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.960007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.158454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.892887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.008370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.759866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.090955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.632485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.908037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.662695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.829725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.538058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.753080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.402391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.712305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.260982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.533365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.112869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.388152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.278228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.456763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.085014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.571990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.008033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.387920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.038399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.232998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.959587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.086342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.833436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.158237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.706535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.978142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.736432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.898185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.609382image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.825530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.475764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.783663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.333052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.601482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.188213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.529508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.352964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:59.620390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.160111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.640836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.078099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.459049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.109656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.306835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.038162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.153085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.904893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.228363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.776149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.050400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.807957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.978378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.683357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.898097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.542346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.851525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.404064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.670575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.263024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.600524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.443531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:00.029979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.243237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.704402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.153157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.528086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.192958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.380428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.109631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.224937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.978281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.291493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.848199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.145048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.878005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.048290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.759511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.966734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.612946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.916768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.478101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.741657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.333136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.668362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.528830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:00.102547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.320666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.768241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.221718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.592478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.297938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.447951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.182971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.289577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.048241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.358359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.918223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.218126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.950072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.125230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.828391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.028146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.683036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.981524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.550256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.809048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.608489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.742917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.598203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:00.191229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.391984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.833406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.289918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.658465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.374230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.518193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.259792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.353068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.123238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.424886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.987893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.309622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.018086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.191892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.902142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.120160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.747968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.048207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.620378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.874800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.678352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.814621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.677968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:00.268199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.469947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.897929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.359749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.725097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.448253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.588474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.333019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.418057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.192795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.491642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.058982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.392640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.092552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.278017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.972391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.275122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.826293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.116662image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.692285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.938419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.748270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.878366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:48.748157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:00.348021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:38.554210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:49.958748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:39.427996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:50.793461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:40.518354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:51.658563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:41.397996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:52.483907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:42.259510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:53.558198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:43.298182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:54.458025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:44.166648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:55.358078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.042416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:56.346581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:45.892412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:57.180574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:46.761920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.003736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:46:47.813391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:46:58.947929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Correlations

Cluster 0

2025-08-22T10:47:04.521704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:04.655365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

alcoholchloridescitric aciddensityfixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
alcohol1.000-0.274-0.230-0.570-0.3540.0640.3540.3460.0910.165-0.1860.040
chlorides-0.2741.0000.1370.4210.383-0.008-0.253-0.1540.213-0.0550.1720.094
citric acid-0.2300.1371.0000.1970.2830.136-0.305-0.0880.075-0.0260.397-0.372
density-0.5700.4210.1971.0000.610-0.040-0.124-0.2330.3690.0910.1790.149
fixed acidity-0.3540.3830.2830.6101.000-0.062-0.634-0.1360.255-0.1660.1590.198
free sulfur dioxide0.064-0.0080.136-0.040-0.0621.0000.0680.0940.0810.1190.678-0.188
pH0.354-0.253-0.305-0.124-0.6340.0681.0000.135-0.0260.281-0.141-0.020
quality0.346-0.154-0.088-0.233-0.1360.0940.1351.0000.0110.309-0.057-0.168
residual sugar0.0910.2130.0750.3690.2550.081-0.0260.0111.0000.0260.1910.099
sulphates0.165-0.055-0.0260.091-0.1660.1190.2810.3090.0261.0000.036-0.081
total sulfur dioxide-0.1860.1720.3970.1790.1590.678-0.141-0.0570.1910.0361.000-0.142
volatile acidity0.0400.094-0.3720.1490.198-0.188-0.020-0.1680.099-0.081-0.1421.000

Cluster 1

alcoholchloridescitric aciddensityfixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
alcohol1.000-0.272-0.124-0.671-0.306-0.0350.2470.5550.0030.241-0.223-0.236
chlorides-0.2721.0000.1590.4120.1920.113-0.101-0.2480.301-0.1520.2200.274
citric acid-0.1240.1591.0000.3620.460-0.074-0.252-0.0700.142-0.055-0.041-0.094
density-0.6710.4120.3621.0000.6720.017-0.315-0.4080.396-0.1280.2320.394
fixed acidity-0.3060.1920.4600.6721.000-0.143-0.679-0.1400.153-0.080-0.0480.252
free sulfur dioxide-0.0350.113-0.0740.017-0.1431.0000.182-0.0250.1800.2030.8560.025
pH0.247-0.101-0.252-0.315-0.6790.1821.0000.078-0.0050.1520.096-0.220
quality0.555-0.248-0.070-0.408-0.140-0.0250.0781.000-0.0590.397-0.213-0.323
residual sugar0.0030.3010.1420.3960.1530.180-0.005-0.0591.0000.0020.2910.248
sulphates0.241-0.152-0.055-0.128-0.0800.2030.1520.3970.0021.0000.099-0.236
total sulfur dioxide-0.2230.220-0.0410.232-0.0480.8560.096-0.2130.2910.0991.0000.155
volatile acidity-0.2360.274-0.0940.3940.2520.025-0.220-0.3230.248-0.2360.1551.000

Missing values

Cluster 0

2025-08-22T10:46:48.860113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.

Cluster 1

2025-08-22T10:47:00.442019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.

Cluster 0

2025-08-22T10:46:48.998055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Cluster 1

2025-08-22T10:47:00.598019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
00.2857140.6304350.0000000.2916670.4487180.2439020.2413790.6363640.7241380.3538460.1428575
10.3333330.8260870.0000000.5833330.7307690.5853660.5258620.5353540.3678160.5384620.2244905
20.3333330.6956520.0533330.4583330.6538460.3414630.4137930.5555560.4367820.4923080.2244905
40.2857140.6304350.0000000.2916670.4487180.2439020.2413790.6363640.7241380.3538460.1428575
50.2857140.5869570.0000000.2500000.4358970.2926830.2931030.6363640.7241380.3538460.1428575
60.3452380.5217390.0800000.1666670.3589740.3414630.4568970.4949490.4827590.2000000.1428575
70.2738100.5760870.0000000.0000000.3076920.3414630.1293100.3131310.5862070.2153850.2653067
80.3333330.5000000.0266670.3333330.4102560.1951220.1034480.5353540.5517240.3692310.1632657
90.2023810.5000000.1066670.2500000.7179490.3414630.5086210.4444440.4597700.3230770.1020415
100.0714290.5380430.0000000.1666670.6153850.3658540.4568970.2828280.8045980.2923080.2448985

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
30.7380950.1739130.7466670.2916670.4358970.3902440.4655170.6565660.3218390.3846150.2244906
110.4166670.1739130.7466670.2500000.6538460.8292680.8362070.5454550.4827590.6461540.3673477
120.4642860.1086960.6400000.2500000.4615380.6829270.4655170.5353540.5862070.3076920.1428576
140.3452380.3369570.2800000.1666670.8333330.2195120.2672410.5151520.3333330.8923080.1632655
190.3452380.3369570.2800000.1666670.8333330.2195120.2672410.5151520.3333330.8923080.1632655
270.3690480.2826090.3733330.3750000.3205130.2926830.2068970.5353540.4022990.6153850.2040827
310.4404760.1847830.6933330.1666670.9230770.2682930.2672410.5454550.4252870.3846150.1632655
390.6190480.3260870.7600000.9166670.3717950.0731710.0344830.5656570.1839080.4615380.1836735
420.4523810.3043480.5333330.4166670.4871790.4390240.3965520.6565660.6436780.4769230.1020415
480.5119050.2173910.7600000.3333330.4230770.6341460.5086210.5454550.4597700.7076920.4081635

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
12380.0952380.5326090.1466670.2500000.3205130.4146340.1896550.3363640.7701150.5076920.4489806
12390.2619050.5869570.4400000.5416670.3461540.8048780.8275860.2666670.4482760.6923080.8367356
12400.1547620.4673910.2000000.2500000.4615380.6097560.2500000.1656570.5057470.7538460.5918376
12410.0476190.6739130.1200000.2083330.6153850.3658540.1724140.2545450.9080460.3538460.5918376
12420.1547620.4239130.1733330.4583330.4487180.6829270.2931030.4282830.6206900.6461540.4693886
12430.2142860.5434780.1066670.2916670.3461540.6585370.2758620.5060610.6206900.7538460.1632656
12440.1428570.5217390.1066670.3333330.6282050.7560980.3275860.3434340.6551720.3846150.3673475
12450.1071430.4673910.1333330.4166670.2692310.9268290.3879310.3656570.7356320.6615380.5102046
12460.1547620.4239130.1733330.4583330.4487180.6829270.2931030.4282830.6206900.6461540.4693886
12470.1071430.5706520.1600000.3333330.4358970.7560980.3275860.4010100.7931030.5846150.3061225

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
12080.7380950.3043480.6666670.3333330.7435900.4390240.3793100.6393940.2528740.3846150.3469395
12090.2857140.2608700.4000000.2500000.4230770.3902440.1551720.2717170.4137930.5692310.5510208
12210.2023810.0434780.8533330.3750000.2307690.5609760.3965520.3474750.5287360.5846150.5102046
12270.2976190.4347830.5333330.4166670.2435900.2682930.1206900.3272730.4367820.4769230.6326536
12280.3571430.1956520.8400000.1666670.5128210.3658540.1982760.4424240.4827590.6923080.4285716
12310.2857140.2500000.4400000.5000000.3461540.1951220.1724140.3232320.5517240.4153850.6530616
12350.2023810.2173910.5866670.5000000.2564100.5609760.2413790.3373740.4712640.7230770.5918377
12360.2619050.2934780.5866670.5833330.3205130.5121950.3620690.3474750.4827590.7846150.5714296
12370.2976190.2065220.5466670.5000000.3076920.8048780.4655170.3454550.5287360.8000000.5510206
12480.1190480.2065220.6266671.0000000.3333330.4146340.3103450.4030300.5862070.5076920.4693886

Duplicate rows

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality# duplicates
170.2023810.3695650.3200000.2083330.4615380.4146340.2413790.3333330.5862070.4153850.38775564
480.2619050.6250000.1733330.3333330.4487180.2682930.1206900.4000000.4712640.3230770.28571454
600.2976190.4239130.0266670.2083330.5512820.2926830.2155170.3919190.5517240.3230770.36734764
40.1190480.4130430.0000000.0833330.2051280.3414630.1724140.3010100.5517240.1846150.16326553
110.1666670.5652170.2800000.2500000.5128210.3170730.2155170.5444440.8160920.5076920.22449053
280.2380950.5760870.0266670.3750000.3205130.1707320.1637930.5757580.6781610.5230770.16326563
290.2380950.6195650.0933330.5416670.6410260.3414630.1293100.4262630.5747130.4153850.53061263
450.2619050.5543480.0000000.2916670.7179490.3170730.2758620.5303030.5632180.3846150.06122463
950.3928570.5760870.1333330.7083330.6153850.3902440.2931030.6595960.4712640.3384620.16326553
00.0714290.4130430.1200000.4583330.1025640.3902440.8017240.2222220.8620690.4615380.87755152

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality# duplicates
10.2619050.2608700.6133330.3750000.4230770.5609760.3275860.3878790.5977010.8000000.46938874
110.3928570.1521740.5600000.3333330.5000000.2439020.1810340.5959600.3793100.7230770.14285763
200.4642860.0000000.6000000.2500000.4358970.2195120.1293100.4060610.6091950.6615380.65306173
260.5119050.2608700.5200000.1250000.5000000.9756100.4224140.5070710.6781610.6153850.44898063
340.5833330.4565220.6000000.4583330.3846150.3658540.2931030.7676770.5862070.4461540.14285753
00.2142860.2608700.4266670.2500000.3333330.0731710.0172410.1313130.5517240.3384620.83673572
20.2619050.2717390.4266670.3333330.2692310.3414630.1896550.3232320.4022990.6153850.53061272
30.2738100.2010870.5200000.0000000.2307690.1463410.0431030.1828280.4712640.2923080.57142962
40.2738100.2663040.6533330.5416670.6025640.9268290.8620690.5151520.5517240.6923080.46938852
50.2976190.2826090.7600000.4583330.8333330.0975610.0517240.4595960.5517240.3384620.55102062